Northwestern Medicine and Google are collaborating on a project to bring fetal ultrasound to developing countries by combining AI (artificial intelligence), low-cost hand-held ultrasound devices and a smartphone.
Shifting machine learning workflows to a proactive model could speed data collection and analysis, according to a viewpoint published in JAMA.
A new anatomy curriculum for the MD and PA programs integrates the HoloAnatomy software, which allows students to visualize every part of the body through a virtual, three-dimensional perspective.
A machine learning model can identify patients at risk of a rare cardiomyopathy, according to a recent study.
Feinberg is hosting the first annual Big Ten Augmented Intelligence Bowl, bringing together multi-disciplinary teams of investigators from institutions representing the Big Ten Academic Alliance to use AI to address health disparities.
A novel integrative computational technique allowed scientists to classify disease conditions at the molecular level using epigenomic data sets.
Take a look back at a handful of groundbreaking research discoveries that marked one of, if not the most, unprecedented and transformative years for Feinberg.
Using an artificial intelligence cell classification technique, Northwestern Medicine investigators have found that viruses can control structural and genetic polarity inside the cell nucleus.
A Northwestern Medicine scientist and collaborators have used an AI-enhanced precision medicine approach to combine multiple views of human brain development as they seek to provide a roadmap for what causes subtypes of autism spectrum disorder.
Northwestern University Feinberg School of Medicine has established a new Institute for Augmented Intelligence in Medicine, with the goal of augmenting human expertise with computational methods to advance the science of human health.